Network operations and management issues for transparent WDM networks

Urban rail transit operations have changed from a single line to a multiline network. The network operations have undergone quantitative and qualitative changes, and operations management is facing rapid internal and external changes. Using the Guangzhou Metro network operation practices as a case study, this paper first systematically analyzes the features of the operation scale, the proportion of urban mass transit, the surge in public demand, the security of the operational service capacity, reforms to the operation governance structure, the high-speed expansion of staff, and the development of knowledge and skills in urban mass transit networks. The paper then proposes several responses to the challenges that such networks face; for example, this paper proposes creating an innovative network operations management system, strengthening the management foundation, creating plans to promote operation capacity, enhancing security risk management and equipment quality management, developing a crisis public relations response, and applying information technology. In addition, this paper systematically describes countermeasures for multiline network operations, such as developing a management mechanism for network operations, actively cultivating staff skills, creating innovative transport organization models to enhance operational capacity, establishing a production service assessment system to continuously improve the level of transportation service, establishing a quantifiable safety assessment system and equipment quality index model, strengthening quality controls for security and equipment, extensively using information technology to ensure the health of the urban mass transit network operation, and implementing sustainable development measures.

A typical management application in today's enterprise network involves remote cooperation of a number of skilled people within and across organisations. Hence there is a need to consider the role of human resources and their interactions in a network operation and management process. However, most of the present day management solutions concentrate on the management of network equipment/devices. In view of the critical nature of many networked applications, it is important to provide effective and reliable management from the perspective of an enterprise. This paper reports our study of human cooperation in a network management environment in a large telecom organisation. This resulted in our proposed cooperative management framework for enterprise networks, which is presented.

Different airport performance review studies identify aircraft turnaround as the major driver of departure delays that affect efficient airport and air traffic management (ATM) network operation. To mitigate such inefficiencies, reliable information sharing between all involved stakeholders as well as between them and the network manager is necessary. Analysing in depth the current environment and building on the airport collaborative decision-making concept, the ‘Turnaround Integration in Trajectory and Network’ (TITAN) project proposes an advanced concept of operations to identify improvement opportunities in the information flows between the various stakeholders as well as the potential influence of external processes still to be considered and to integrate the aircraft turnaround process into the aircraft business trajectory and the ATM network. After its successful validation, the proposed concept was realised by developing a decision-support tool that was subject to a cost-benefit analysis. It defined a service-oriented architecture that enhances sharing of a more predictive common awareness of all relevant influences on aircraft turnaround as a means of facilitating more predictable and intelligent decision making to mitigate turnaround delays and ameliorate airport performance. Considerations about how to integrate the project output into the existing ATM system and manage the transition to a future TITAN environment were also made. The project output is summarised in this paper.

Purpose – This paper examines the influence of network operational digitalization and network operational automation on sustainable operations, with operational efficiency as a mediating variable. The study was conducted at PT XYZ, a telecommunications company in Indonesia, employing a quantitative approach through a survey of 161 respondents working in network operational units. Methodology/approach – The research instrument was developed based on indicators of digitalization, automation, operational efficiency, and sustainable operations. Data collected were analyzed using Structural Equation Modeling with Partial Least Square (SEM-PLS) through SmartPLS software. Findings – The results reveal that both digitalization and automation of network operations significantly influence operational efficiency. Furthermore, operational efficiency plays a mediating role in linking digitalization and automation to sustainable operations. The study also identifies a significant direct effect of network operational digitalization on sustainable operations. However, network operational automation does not yet demonstrate a direct influence on sustainability outcomes. These findings suggest that while automation contributes to efficiency, its role in sustainability is still evolving, reflecting the staged maturity of technological adoption within the telecommunications industry. Originality/Value – Theoretically, this study contributes to the development of an integrative model connecting digital transformation and sustainable operations in the telecommunications sector. Empirically, it highlights the unique asymmetry between digitalization and automation in driving sustainability, which has been underexplored in prior research. Practically, the results provide valuable insights for company management in formulating effective strategies to enhance digitalization and automation-based network operation systems as a foundation for long-term sustainable operations.

Federated network operations become more and more important and the central challenge for Future Internet testbeds around the world. Federated network operations on Future Internet need to meet at least two conditions based on the general definition of federation [1]. First, multiple distributed network domains agree upon standards of network operations. Second, internal network operation of each domain is autonomous under its own control. Under the fundamental requirements, this paper presents a framework that federates and operates the autonomous distributed networks (ADNs) in the perspective of virtual network operations and end-user oriented network management on end-to-end network slices. In addition, we propose a virtual federated network (VFN) environment as a common federation interface between ADNs, associated with three key functionalities such as core network resource schema and representation, operational data exchanges, and end-to-end federated network operations. The performance consideration of this scheme includes the fast convergence of state updates on each ADN through VFN interface, as well as reliable and scalable operational dataset management of the federated Future Internet testbeds.

Faced with growing fierce competitive pressure on all fronts and market saturation, traditional telecommunication operators are now struggling to find the breakthrough approach by which they may successfully reshape their role from network service providers to multimedia service providers. They are re-examining their voice-centric business models and deploying next-generation networks (NGN) for QoS-guaranteed delivery of multimedia quadruple play services (QPSs). To cost effectively realize these paradigm shifts, the existing ;stability-oriented; network operations and management infrastructure and processes should be migrated into ;service-oriented; and ;business-driven; network operations and management within the context of today's multimedia and converged business environments. In this article, I'd like to introduce Network Operations and Management 2.0 (NOM 2.0), which is an innovative next generation operations and management paradigm for telephone company business agility and customer value creation. KT recently proposed Telco 2.0 [1], a new role and business model in the IP world to create customer value. NOM 2.0 is a key component needed to realize the Telco 2.0 goals. Telcos need to transform their operations and management framework into a human-centric and highly intelligent and automated one, and become the market leader by providing an agile operation and management framework within ever-changing operations and business environments. I will describe what NOM 2.0 is and how it is being realized in my company, KT.

With the development of optical fiber communication technology, optical spectrum analyzer (OSA) suitable for field use is urgently required. The laboratory-based OSA can be available only in a laboratory environment and unsuited to field use. By eliminating unwanted functions and fine design, the portable OSA can meet the requirement for field test and provide low cost and high performance. In this paper, a kind of high speed and portable OSA suitable for plastic fiber field test is designed, whose wavelength measurement accuracy is better than 0.1nm and spectrum energy measurement sensitivity is -30dBm.

The 2nd IEEE Workshop on Autonomic Communications and Network Management (ACNM 2008, http://www.nw.neclab.eu/acnm08) was held in Salvador-Brazil, April 11, 2008 in conjunction with the IEEE/IFIP Network Operations & Management Symposium (NOMS 2008). It followed the success of the previous meeting, ACNM 2007 (http://www.nw.neclab.eu/acnm07), held in Munich together with the IFIP/IEEE International Symposium on Integrated Network Management (IM 2007). The purpose of ACNM 2008 was to present and to discuss new theories, mechanisms, and applications of Autonomic Communication—a new paradigm for forthcoming networks—in the fixed as well as the mobile worlds. The focus of ACNM is on intelligent communication, network control and management paradigms based on smart network and service elements that are capable of automatically configuring and organizing themselves. Autonomic networks will be able to sense their environment to perceive changes, to understand the meaning of these changes, and to react in an intelligent manner

Estimating the cell loss probability in an ATM multiplexer is a key issue in network management and traffic control such as call admission control and bandwidth allocation. In this paper, we derive a new approximation to estimate the total and individual cell loss probabilities in an ATM multiplexer fed by a superposition of heterogeneous on-off sources with exponentially distributed on and off periods. Based on this approximation, a simple and accurate method is proposed to estimate the aggregate required bandwidth by a given mix of traffic to guarantee a given cell loss probability.

Estimating the cell loss probability in an ATM multiplexer is a key issue in network management and traffic control tasks such as call admission control and bandwidth allocation. In this paper, we derive a new approximation to estimate the total and individual cell loss probabilities in an ATM multiplexer fed by a superposition of heterogeneous on‐off sources. Based on this approximation, a simple algorithm is proposed to estimate accurately the aggregate required bandwidth to guarantee a given cell loss probability. Numerical results and comparisons to alternative approaches are also shown.

An intelligent network operator (INO), working as an artificial entity intelligence (AI) model, has been detailed and analyzed in this paper and involves an innovative approach, which is merging computer networks and artificial neural networks (ANNs). The operator first scans the network's state information into embedding vectors for matching embedding vectors of different types of information at each point of the network's operation. The fact that the operator has successfully cleared all testing phases with a 100% accuracy rate is mitigating the risks during the operation. Furthermore, extending the identification and resolution of major training losses is also introduced as a novel technique to maximize the overall efficiency of the operator's training process. A specific sealed computer network simulator has been designed to facilitate a teaching and testing environment. It also serves as a simulator that allows data collection, training, and testing procedures to be automated. This essay outlines succinctly the principal advancements used in this study through the use of the novel methodologies employed in the design, development and testing of the AI-based network operator. Both of these contributions are very important for the area and indicate that there exists the potential to improve network operations and training and testing frameworks through the application of AI.

Peer-to-Peer (P2P) technology has been widely applied in Internet application systems, especially in sharing large video files among multiple user communities. Although P2P technology has lots of advantages, it brings troubles to network operation sometimes. P2P applications may consume much network bandwidth. Furthermore, P2P application is always apt to use the network bandwidth as much as possible. Long-time congestion brings the network management great difficulty. On the other hand, lack of proper management of P2P network also causes problems related to copyright, privacy, and security. Due to the reasons mentioned above, both the ISPs and ICPs urgently desire to find an effective way to monitor and manage the P2P network. In this chapter, the authors will discuss the issues of P2P network management. The “Introduction” focuses on the current state of P2P network, describing the problem of lack of management. The next section analyzes the P2P network features in network management. The difference between P2P network and Internet in management will be also discussed. The section “P2P Traffic Identification” is the P2P management technology of traffic identification, based on which many traffic shaping solutions presented in the section, “Traffic Shaping.” The next section introduces another kind of widely used approach - P2P caching. The current ISP and PSP collaboration solutions will be discussed in the section “ISP PSP Collaboration,” including the well-known framework of P4P (Haiyong Xie, 2007), biased neighbor selection of BitTorrent (Ruchir Bindal, 2006), Oracle (V. Aggarwal, 2007), and Ono (David R. Choffnes, 2008). The second to last section presents a proposal named Federation Based Solution to P2P Network Management (Jilong Wang, 2007), including the models of structure, communication, function and system. The final section will be the conclusion.

We deal with the problem of designing the logical topology in IP-over-WDM networks. Many conventional methods for designing the logical topology assume that a constant number of wavelengths will be available on each fiber. But it is not necessary to utilize all wavelengths on each fiber in building an effective logical topology on a WDM network. Instead, several wave-bands may be considered for introduction while deploying additional wave-bands and their corresponding optical amplifiers when additional wavelengths are actually required. In this case, the number of wavelengths available on the respective fibers depends on the number of optical fiber amplifiers deployed on each fiber. In this paper, we propose a heuristic algorithm for the design of a logical topology with as few optical fiber amplifiers as possible. Our results indicate that our algorithm reduces the number of optical fiber amplifiers with a slight increase of average packet delays.

Stochastic two-stage reliability-based Security Constrained Unit Commitment in smart grid environment

We investigate opportunistic transmissions in a time-slotted wireless network, emphasizing constraints arising from finite durations allocated to various network operations and the availability of energy for these operations. Each time frame (time slot) comprises three sub-frames: sensing, reporting, and either transmission or energy harvesting based on the presence or absence of the primary user. We assume a fixed duration for the transmission sub-frame within each time frame. Utilizing a time division multiple access (TDMA) protocol, we manage local sensing data reporting within each time frame; consequently, the reporting time is contingent on the number of users. As a result, with the total time allocated for sensing and reporting being fixed, a trade-off arises between the number of collaborating users and the number of samples. Additionally, energy limitations and causality lead to two scenarios for wireless network operation: energy-deficit and energy-surplus regimes. To address this complexity, we formulate an optimization problem aimed at maximizing overall network throughput while considering constraints imposed by finite durations for various network operations and energy availability. We provide analytical evidence of the convexity of the optimization problem in both energy-deficit and energy-surplus scenarios. Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. The accuracy of our analyses is validated through Monte Carlo simulations. Numerical results demonstrate the effectiveness of our proposed approach.